Analytical Instrument Specialist in India

Key Responsibilities Enterprise Data Strategy & Client Engagement: Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives. Serve as a key technical advisor for clients, translating business requirements into innovative data solutions. Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles. Data Modeling, Design & Engineering: Design and optimize both logical and physical data models to support enterprise-wide systems. Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics. Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance. Technology Evaluation & Implementation: Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability. Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk management. Team Leadership & Hands-On Management: Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects. Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues. Ensure project milestones are met through effective resource management and team coordination. Performance, Security & Best Practices: Optimize data storage, retrieval, and processing performance across various systems. Collaborate with security teams to enforce data governance, compliance, and privacy standards. Establish and promote best practices in data management, data engineering, and architecture design. Documentation & Reporting: Develop and maintain comprehensive documentation covering data architecture designs, data flows, integrati

Product Manager 2 - SCM Marketplace About Team Myntra’s product management team builds technology products that empower our customers’ shopping experience and enables the smooth flow of products from suppliers to our customers’ doorsteps. We work on areas such as building massive-scale internet-applications, engaging user-interfaces, big-data analytics, mobile apps, workflow systems, inventory-management etc. Using technology & design every employee has the power to have an incredible impact in the life of Indian consumers. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. Our Product Vision is to be the most innovative fashion-tech leader, crafting trusted, efficient, immersive & inspiring content and commerce experiences for our customers such that Myntra becomes a part of their life whilst also creating an ecosystem to support brands to build their identity and flourish. Supply Chain Management (SCM) Product Team Myntra Supply Chain Management systems form the backbone of our core business and customer experience. Any business runs on a simple construct of Demand (Consumer) and Supply (Producer). However, a set of complex and intricate methods, processes and systems connect the demand with supply in a deterministic and predictable way. These methods, processes and systems collectively form the Supply Chain for the business. The multi-billion-dollar Myntra business fundamentally rests on a set of highly scalable, robust and intelligent Supply Chain Management systems that solve real world problems of predicting the demand from millions of our customers, for a combination of millions of products from our product catalog, and intelligently connecting that demand to thousands of national and international sellers or suppliers using a set of advanced homegrown tech produc

About Team: Financial Planning and Analysis” (FP&A) team works closely with the CFO, FP&A head, and all the other functions to enable and improve data-driven decision-making. The team enables financial planning, and allocation of funds, and uses structured problem-solving approaches along with a wide range of statistical / operations research techniques to create productized solutions for business teams to consume. Role: We are seeking to hire a talented Finance Professional for the FP&A team. This role offers a wide spectrum of responsibilities spanning from Financial and strategic planning, dynamic resource allocation framework for growth and P&L sustainability, driving efficiency charters across the P&L line items, performance management, business analytics and benchmarking with external companies. Responsibilities: Prepare monthly, quarterly and annual financial plans to be executed. Hold guardrails for investment to maximize topline growth Develop financial model for planning, budgeting, variance analysis and performance management Strategic Planning, AOP and LRP creation with thorough and detailed how-lists for topline and P&L line items Lead the MEC process with stakeholders from Business Finance and Controllership. Action upon the key risks and opportunities with agility Identify opportunities for efficiencies across the org and partner with respective teams to develop action plan to maximize the returns on investment for topline growth as well as cost optimization Leverage SQL to extract and manipulate financial data for analysis, Create and maintain dashboards and reports using SQL based tools Handle complex ad hoc request with a shorter turnaround time and supplement such request with appropriate analysis and insights for enabling business decision-making Assessment and dissemination of impact on business due to macro trends, benchmarking with national and international peer companies to identify the

Product Manager 2 - SCM Marketplace About Team Myntra’s product management team builds technology products that empower our customers’ shopping experience and enables the smooth flow of products from suppliers to our customers’ doorsteps. We work on areas such as building massive-scale internet-applications, engaging user-interfaces, big-data analytics, mobile apps, workflow systems, inventory-management etc. Using technology & design every employee has the power to have an incredible impact in the life of Indian consumers. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. Our Product Vision is to be the most innovative fashion-tech leader, crafting trusted, efficient, immersive & inspiring content and commerce experiences for our customers such that Myntra becomes a part of their life whilst also creating an ecosystem to support brands to build their identity and flourish. Supply Chain Management (SCM) Product Team Myntra Supply Chain Management systems form the backbone of our core business and customer experience. Any business runs on a simple construct of Demand (Consumer) and Supply (Producer). However, a set of complex and intricate methods, processes and systems connect the demand with supply in a deterministic and predictable way. These methods, processes and systems collectively form the Supply Chain for the business. The multi-billion-dollar Myntra business fundamentally rests on a set of highly scalable, robust and intelligent Supply Chain Management systems that solve real world problems of predicting the demand from millions of our customers, for a combination of millions of products from our product catalog, and intelligently connecting that demand to thousands of national and international sellers or suppliers using a set of advanced homegrown tech produc

About the Role We are looking for a Senior SAP BW/BI Developer to design, build, and optimize enterprise data warehousing solutions on SAP BW. The ideal candidate has deep hands-on experience across the full SAP BW/BI stack — from data extraction and ABAP development to performance tuning and cross-platform data integration — and can independently own complex data solutions from design through production support. Key Responsibilities Design and develop SAP BW/BI solutions, including data models, extraction logic, and reporting objects to support business analytics needs. Build and maintain data ingestion pipelines from SAP ECC and functional modules including PM, FI/CO, SD, MM, and C4C into SAP BW. Develop, enhance, and debug custom extractors, user exits, and enhancements using ABAP programming. Design and build DSOs (Data Store Objects), InfoCubes, and BEx Queries to support reporting and analytics requirements. Develop and maintain APDs (Analysis Process Designer) to extract data from BW and push output files to application servers for downstream consumption. Analyze, troubleshoot, and optimize BW query and load performance, particularly for large data volumes. Build and support connectivity between SAP BW and external data platforms, preferably Cloudera and/or Google Cloud Platform (GCP). Design, schedule, and monitor Process Chains to automate data loads and ensure data availability SLAs are met. Manage Transport Requests across development, quality, and production landscapes following change management best practices. Create and maintain technical documentation, including design specs, data flow diagrams, and process runbooks. Collaborate with functional consultants, business analysts, and downstream data teams to translate business requirements into technical solutions. Provide production support, root-cause analysis, and long-term fixes for data and performance issues Requ

SPECIFIC JOB RESPONSIBILITIES Pipeline Management: Maintain high-throughput streaming pipelines to ingest logs from various sources (Firewalls, Cloud, Endpoints) to a central destination. Log Normalization: Write parsers to convert raw, messy logs into standard schemas (e.g., OCSF or ECS) for consistent querying. Cost Optimization: Implement routing logic to send "high-value" data to the SIEM and "bulk" data to low-cost Object Storage (Data Lake). Data Preparation: Clean and structure data to enable AI/ML detection models and advanced analytics. EXPERIENCE REQUIRED Data Engineering: Proficiency in Python (for ETL) and SQL (for complex querying). Streaming Tech: Experience with Message Queues (e.g., Kafka, Pub/Sub) and stream processing concepts. Log Handling: Mastery of Regex and log parsing strategies for standard formats (Syslog, CEF, JSON). Storage Architecture: Understanding of Data Lake principles (Parquet/Avro formats) vs. Data Warehouses. QUALIFICATIONS, SKILLS, & KNOWLEDGE Experience with Vector Databases for storing embeddings. Knowledge of Log Observability/Routing tools (middleware that routes logs). Familiarity with Big Data frameworks (e.g., Spark, Flink). PROFESSIONAL DEVELOPMENT EXPECTATIONS Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. The base salary range for this role is 35,000- 45,000]. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays, and paid sick time. Total compensation, including base salary to be offered, will depend on elem

Opportunity Overview: We are seeking a Senior Data Engineer to contribute to the design and delivery of our cloud-native healthcare data platform. You will implement scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines strong hands-on engineering with collaboration across platform, analytics, and business teams. What You'll Do Data Engineering Delivery Deliver complex data engineering projects in collaboration with cross-functional teams Drive technical execution from design through production deployment Implement scalable data patterns and reusable frameworks Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Contribute to Apache Iceberg implementation and optimization Apply standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Implement data quality frameworks and validation layers Support observability and monitoring practices Contribute to operational excellence and reliability improvements Participate in architecture and design discussions Conduct and participate in code reviews Mentor junior engineers and share best practices ISMS roles and responsibilities Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitoring and reporting on the performance of the ISMS. Responsible for implementation of security policies and procedures and report

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. Technical Lead – Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers

About the Role The Senior Engagement Manager will play a strategic leadership role within the BCS Pharma Group, driving growth, delivery excellence, and capability building across pharmaceutical and life sciences engagements. This role combines client leadership, solutioning, practice development, and program ownership to help scale the pharma consulting and analytics practice. The ideal candidate will act as a trusted advisor (beyond expert -only) to clients, lead high-impact engagements, contribute to pre-sales and proposal development, and build reusable assets, solutions, and thought leadership for the organization. Key Responsibilities Client Engagement & Delivery Leadership Lead end-to-end program delivery across multiple pharma accounts and workstreams Own project planning, delivery governance, execution tracking, and risk management Define timelines, delivery milestones, resource planning, stakeholder communication plan and change management strategies for delivered solution adoption within Client Org Manage senior client stakeholders and build long-term relationships Ensure successful delivery outcomes with high client satisfaction and business impact Drive program governance, issue resolution, and escalation management Team Leadership Manage and mentor engagement managers, analysts, consultants, and cross-functional teams Drive team performance, accountability, collaboration, and professional development Foster a high-performance and learning-oriented culture within the pharma group Pharma Practice & Capability Building Build and strengthen the pharma industry practice as a SME Develop reusable solutions, accelerators, frameworks, and best practices for pharma engagements Create case studies, capability decks, thought leadership content, and internal knowledge assets Conduct domain trainings and mentor teams on p

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. Technical Lead – Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers

About Sigmoid: Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. The below role is for our Bengaluru office. Director – Data Science Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play Roles and Responsibilities: Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of han

Head HR for the port business unit is to lead HR functions, align with organizational goals, optimize workforce productivity, and enhance operations. Implement performance management, develop compensation strategies, oversee workforce planning, and manage HRMS deployment. Ensure compliance and use analytics for strategic decisions. Source: Adani Group | Job ID: 58547

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team... The Securities Analytics and Products Group is responsible for developing and maintaining sophisticated software solutions to safeguard GoDaddy's ecosystem. We are seeking a dedicated Senior Software Engineer with a strong background in software development and a keen focus on security. The ideal candidate will have proven hands-on experience in software development, with a consistent track record of working with the latest software technologies while prioritising security best practices. As a key member of our engineering team, you will play a crucial role in designing, developing, and implementing secure software solutions to protect our organisation from cyber threats. You will get to work with some of the brightest minds to build secure, highly available, fault-tolerant, and globally performant microservices-based platform deployed on the AWS cloud, using the newest technology stack. While the role is primarily backend-focused, you'll also get opportunities to contribute to frontend features as needed, giving you exposure across the full stack. What you'll get to do... Design, develop, and maintain secure, highly available, fault-tolerant, and globally performant code deployed on AWS cloud. Ensure code quality through extensive unit and integration testing Own frontend features and UI components across projects on an as-required cadence, from design through delivery Investigate and resolve production issues, ensuring your team's DevOps on-call responsibilities Contribute to the technical documentation, code reviews,